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| Content Provider | ACM Digital Library |
|---|---|
| Author | Poola, Deepak Ramamohanarao, Kotagiri Buyya, Rajkumar |
| Copyright Year | 2016 |
| Abstract | Cloud environments offer low-cost computing resources as a subscription-based service. These resources are elastically scalable and dynamically provisioned. Furthermore, cloud providers have also pioneered new pricing models like spot instances that are cost-effective. As a result, scientific workflows are increasingly adopting cloud computing. However, spot instances are terminated when the market price exceeds the users bid price. Likewise, cloud is not a utopian environment. Failures are inevitable in such large complex distributed systems. It is also well studied that cloud resources experience fluctuations in the delivered performance. These challenges make fault tolerance an important criterion in workflow scheduling. This article presents an adaptive, just-in-time scheduling algorithm for scientific workflows. This algorithm judiciously uses both spot and on-demand instances to reduce cost and provide fault tolerance. The proposed scheduling algorithm also consolidates resources to further minimize execution time and cost. Extensive simulations show that the proposed heuristics are fault tolerant and are effective, especially under short deadlines, providing robust schedules with minimal makespan and cost. |
| Starting Page | 1 |
| Ending Page | 21 |
| Page Count | 21 |
| File Format | |
| ISSN | 15564665 |
| e-ISSN | 15564703 |
| DOI | 10.1145/2815624 |
| Volume Number | 10 |
| Issue Number | 4 |
| Journal | ACM Transactions on Autonomous and Adaptive Systems (TAAS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-02-03 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Fault tolerance Cloud Scheduling Spot instances Task duplication Task retry Workflows |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Software |
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